File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature

TitleFirst, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature
Authors
Keywordsadverse drug events
bibliometric analysis
medical errors
patient safety
public health
Issue Date2020
PublisherFrontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/Public_Health
Citation
Frontiers in Public Health, 2020, v. 8, p. article no. 558913 How to Cite?
AbstractObjective: Medical errors represent a leading cause of patient morbidity and mortality. The aim of this study was to quantitatively analyze the existing scientific literature on medical errors in order to gain new insights in this important medical research area. Study Design: Web of Science database was used to identify relevant publications, and bibliometric analysis was performed to quantitatively analyze the identified articles for prevailing research themes, contributing journals, institutions, countries, authors, and citation performance. Results: In total, 12,415 publications concerning medical errors were identified and quantitatively analyzed. The overall ratio of original research articles to reviews was 8.1:1, and temporal subset analysis revealed that the share of original research articles has been increasing over time. The United States contributed to nearly half (46.4%) of the total publications, and 8 of the top 10 most productive institutions were from the United States, with the remaining 2 located in Canada and the United Kingdom. Prevailing (frequently mentioned) and highly impactful (frequently cited) themes were errors related to drugs/medications, applications related to medicinal information technology, errors related to critical/intensive care units, to children, and mental conditions associated with medical errors (burnout, depression). Conclusions: The high prevalence of medical errors revealed from the existing literature indicates the high importance of future work invested in preventive approaches. Digital health technology applications are perceived to be of great promise to counteract medical errors, and further effort should be focused to study their optimal implementation in all medical areas, with special emphasis on critical areas such as intensive care and pediatric units.
Persistent Identifierhttp://hdl.handle.net/10722/290858
ISSN
2021 Impact Factor: 6.461
2020 SCImago Journal Rankings: 0.908
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAtanasov, AG-
dc.contributor.authorYeung, WKA-
dc.contributor.authorKlager, E-
dc.contributor.authorEibensteiner, F-
dc.contributor.authorSchaden, E-
dc.contributor.authorKletecka-Pulker, M-
dc.contributor.authorWillschke, H-
dc.date.accessioned2020-11-02T05:48:07Z-
dc.date.available2020-11-02T05:48:07Z-
dc.date.issued2020-
dc.identifier.citationFrontiers in Public Health, 2020, v. 8, p. article no. 558913-
dc.identifier.issn2296-2565-
dc.identifier.urihttp://hdl.handle.net/10722/290858-
dc.description.abstractObjective: Medical errors represent a leading cause of patient morbidity and mortality. The aim of this study was to quantitatively analyze the existing scientific literature on medical errors in order to gain new insights in this important medical research area. Study Design: Web of Science database was used to identify relevant publications, and bibliometric analysis was performed to quantitatively analyze the identified articles for prevailing research themes, contributing journals, institutions, countries, authors, and citation performance. Results: In total, 12,415 publications concerning medical errors were identified and quantitatively analyzed. The overall ratio of original research articles to reviews was 8.1:1, and temporal subset analysis revealed that the share of original research articles has been increasing over time. The United States contributed to nearly half (46.4%) of the total publications, and 8 of the top 10 most productive institutions were from the United States, with the remaining 2 located in Canada and the United Kingdom. Prevailing (frequently mentioned) and highly impactful (frequently cited) themes were errors related to drugs/medications, applications related to medicinal information technology, errors related to critical/intensive care units, to children, and mental conditions associated with medical errors (burnout, depression). Conclusions: The high prevalence of medical errors revealed from the existing literature indicates the high importance of future work invested in preventive approaches. Digital health technology applications are perceived to be of great promise to counteract medical errors, and further effort should be focused to study their optimal implementation in all medical areas, with special emphasis on critical areas such as intensive care and pediatric units.-
dc.languageeng-
dc.publisherFrontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/Public_Health-
dc.relation.ispartofFrontiers in Public Health-
dc.rightsThis Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectadverse drug events-
dc.subjectbibliometric analysis-
dc.subjectmedical errors-
dc.subjectpatient safety-
dc.subjectpublic health-
dc.titleFirst, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature-
dc.typeArticle-
dc.identifier.emailYeung, WKA: ndyeung@hku.hk-
dc.identifier.authorityYeung, WKA=rp02143-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3389/fpubh.2020.558913-
dc.identifier.pmid33178657-
dc.identifier.pmcidPMC7596242-
dc.identifier.scopuseid_2-s2.0-85094646797-
dc.identifier.hkuros317735-
dc.identifier.volume8-
dc.identifier.spagearticle no. 558913-
dc.identifier.epagearticle no. 558913-
dc.identifier.isiWOS:000584791000001-
dc.publisher.placeSwitzerland-
dc.identifier.issnl2296-2565-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats